Robust Adaptive Fault-Tolerant Tracking Control for Nonaffine Stochastic Nonlinear Systems With Full-State Constraints

Wu, Li‐Bing; Park, Ju H.; Zhao, Nannan

doi:10.1109/tcyb.2019.2940296

Cited by 77 publications

(56 citation statements)

References 59 publications

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“…Fault-tolerant control (FTC), with the potential property for promoting the control reliability, is recently proposed for regulating the consensus of faulted systems [11][12][13][14] . In this regard, Wu and Park 15 investigated the reliable FTC problem of nonaffine systems with actuator failures and full-state constraints. Wang and Yang 16,17 developed FTC protocols for linear multiagent systems with actuator faults and time-varying networks.…”

Section: Introductionmentioning

confidence: 99%

Quantized fault‐tolerant consensus for multiple Lagrangian systems subject to switching networks

Yao

Park

Ding

et al. 2021

Intl J Robust & Nonlinear

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This article is concerned with the quantized fault-tolerant control (FTC) for consensus of multiple Lagrangian systems subject to stochastically switching networks, actuator and sensor faults. First of all, a reliable quantized FTC algorithm is developed under Markov jump networks (MJNs), where the communication signal is first quantized before transmitted to develop controllers, and the communication networks are stochastically switching with the sojourn time belonging to an exponential distribution. Then, to handle the FTC problem in the presence of unknown control directions, the Nussbaum function is introduced to further improve the control reliability. Furthermore, the FTC case involving semi-Markov jump networks (S-MJNs) and time-varying communication delays is considered, where the negative constraints of time delays can be effectively attenuated with the sojourn time following a Weibull distribution. Meanwhile, several sufficient criteria on the consensus analysis and algorithms synthesis are established by means of the Lyapunov-Krasovskii stability method. Finally, numerous illustrative examples are elaborated on for demonstrating the feasibility of the derived results. K E Y W O R D Sfault-tolerant control, Markov and semi-Markov process, quantization, time delays, unknown control directionsThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: Introductionmentioning

confidence: 99%

Quantized fault‐tolerant consensus for multiple Lagrangian systems subject to switching networks

Yao

Park

Ding

et al. 2021

Intl J Robust & Nonlinear

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“…In literatures [16,17], the adaptive observer design was used to reconstruct actuator faults and a fault-tolerant controller was designed based on estimated information for fault. Besides, adaptive control is also an effective tool with widespread application in fault-tolerant control for both linear and nonlinear systems [18][19][20][21]. Although great practical progress has been made in actuator fault compensation for the nonlinear system, there are still many unresolved problems for control system with uncertain dynamics and actuator faults.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fault Compensation and Disturbance Suppression Design for Nonlinear Systems with an Aircraft Control Application

Yao

Yang

2020

International Journal of Aerospace Engineering

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A comprehensive adaptive compensation control strategy based on feedback linearization design is proposed for multivariable nonlinear systems with uncertain actuator fault and unknown mismatched disturbances. Firstly, the linear dynamic system is obtained through nonlinear feedback linearization, and the dynamic model of the mismatched disturbances as well as its relevance to the nonlinear system is given. The effect of disturbances on the system output is suppressed with the basic controller of the linearized system. Then, a direct adaptive controller is developed for the multiple uncertain actuator faults. Finally, an integrated algorithm based on adaptive weighted fusion could provide an effective compensation for the effect of multiple uncertain faults and mismatched disturbances. Thus, the stability and asymptotic tracking performance of the closed-loop system are ensured. The feasibility and performance of the proposed control strategy are validated by the numerical simulation results.

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“…In response to ever-increasing need for stability and safety of the control systems, fault tolerant control (FTC) received a lot of attention over the past decades. There have been abundant and outstanding achievements on the FTC of various dynamical systems, such as uncertain linear/nonlinear systems, [1][2][3][4][5][6] switched systems, [7][8][9][10] fuzzy systems, [11][12][13] Markovian jump systems, [14][15][16] singular systems, 17,18 multiagent systems, 19,20 and so on.…”

Section: Introductionmentioning

confidence: 99%

Fault‐tolerant control of singularly perturbed systems with actuator faults and disturbances

Yang

Wang

Morˇrescu

et al. 2020

Intl J Robust & Nonlinear

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The article proposes several fault-tolerant control (FTC) laws for singularly perturbed systems (SPS) with actuator faults and disturbances. One of the main challenges in this context is that the fast-slow decomposition is not available for actuator faults and disturbances. In view of this, some conditions for the asymptotic stability of the closed-loop dynamics are investigated by amending the composite Lyapunov approach. On top of this, a closed-form expression of the upper bound of singular perturbation parameter (SPP) is provided. Moreover, we design several SPP-independent composite FTC laws, which can be applied when this parameter is unknown. Finally, the chattering phenomenon is eliminated by using the continuous approximation technique. We also emphasize that, for linear SPSs, the FTC design can be formulated as a set of linear matrix inequalities, while the SPP upper bound can be obtained by solving a convex optimization problem. Two numerical examples are given to illustrate the effectiveness of the proposed methodology.

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Robust Adaptive Fault-Tolerant Tracking Control for Nonaffine Stochastic Nonlinear Systems With Full-State Constraints

Cited by 77 publications

References 59 publications

Quantized fault‐tolerant consensus for multiple Lagrangian systems subject to switching networks

Quantized fault‐tolerant consensus for multiple Lagrangian systems subject to switching networks

Adaptive Fault Compensation and Disturbance Suppression Design for Nonlinear Systems with an Aircraft Control Application

Fault‐tolerant control of singularly perturbed systems with actuator faults and disturbances

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